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FMS 2026 | Longsys Chief Scientist Jian Chen Highlights the Storage Foundry Model for Edge AI

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SAN JOSE, Calif., Aug. 7, 2026 /PRNewswire/ — At FMS 2026 on August 5, Longsys (301308.SZ) Chief Scientist Dr. Jian Chen delivered a keynote speech titled “Intelligence at the Edge: Powered by the Storage Foundry Model,” addressing the new storage demands created as AI shifts from the cloud to the edge.

During the keynote, Dr. Chen introduced Longsys’ Storage Foundry Model and presented three edge AI storage innovations — HLCache™, iSA™ + AISSD™, and AIDIMM™ — designed to address key industry challenges including high DRAM costs, limited memory capacity, and bandwidth constraints, creating a new pathway for edge AI storage innovation.

Engineering Culture: The Foundation of Storage Innovation

Dr. Chen traced Longsys’ growth since its founding in 1999, including the launch of FORESEE, the acquisition of Lexar, expanded packaging and manufacturing through Longforce (Suzhou) Technology, and the integration of Brazil-based Zilia. Longsys now operates a global manufacturing network supporting worldwide delivery.

Rather than focusing solely on standardized products like traditional storage providers, Longsys applies full-stack engineering across eight areas — chip design, firmware development, material engineering, host software and OS-level adaptation, hardware design, packaging, automated testing, and mass production — enabling cross-domain hardware-software co-optimization and customized development. Together, these integrated capabilities across the storage value chain form the basis of the Storage Foundry Model.

Redefining Storage Collaboration for the Edge AI Era

Dr. Chen highlighted that while NAND Flash and DRAM have achieved significant cost reductions over decades, the rise of edge AI has introduced a new level of complexity. He described the fragmented edge AI landscape as a “thousand-handed challenge,” where diverse architectures, AI models, device forms, and applications require coordinated solutions rather than standardized approaches.

From AI PCs and mobile devices to industrial systems and robotics, different scenarios require tailored trade-offs among performance, power efficiency, form factor, and security. The Storage Foundry Model goes beyond conventional storage offerings by enabling solutions tailored to customers’ CPUs, SoCs, AI models, and system architectures — integrating hardware, firmware, and system-level optimization to accelerate development cycles and lower barriers to edge AI deployment.

Three Longsys Innovations Powering Edge AI

HLCache™ UFS leverages Longsys’ self-developed High-Level Cache technology to intelligently manage hot and cold data between UFS and DRAM, reducing memory pressure and improving multitasking performance on mobile AI devices.

iSA™ + AISSD™ enables efficient local AI inference for AI PCs and AI agent hosts by offloading MoE parameters and KV cache to dedicated SSD resources, reducing DRAM usage while supporting large-scale AI models.

AIDIMM™ addresses memory bandwidth challenges in AI BOX and edge AI systems with a plug-in high-bandwidth memory architecture, featuring a native 256-bit interface and up to 307.2GB/s bandwidth. Its flexible design simplifies system upgrades and reduces hardware redesign efforts.

“Collabovate”: Building the Future of Edge AI Together

Dr. Chen highlighted that as edge AI evolves from early adoption to large-scale deployment, diverse requirements across devices, architectures, and workloads cannot be addressed by a single product or technology.

To address this fragmented market, Dr. Chen introduced “Collabovate” — combining Collaboration and Innovation — as a new ecosystem collaboration approach. Through the Storage Foundry Model, Longsys is bringing together partners across chips, devices, and AI ecosystems to leverage complementary capabilities and accelerate customized edge AI solutions.

By opening its full-stack technology capabilities, Longsys aims to build a more collaborative storage ecosystem, enabling deeper industry collaboration and unlocking new possibilities for intelligent computing.

About Longsys

Founded in 1999, Longsys (301308.SZ) is a globally leading branded semiconductor memory enterprise, integrating R&D, design, packaging and testing, manufacturing, and sales services. For more information please visit https://www.longsys.com/, and follow Longsys on LinkedIn and Facebook.

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Retired Marine Corps Major Chris Foster Endorses Michael Carbonara for Congress

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– Additional video source from Foster: https://drive.google.com/file/d/1We8XyEE-TO1fBNleOfCqcjVkZJ4JxrRq/view?usp=sharing

– A twenty year Marine and veteran business leader backs Carbonara in Florida’s 22nd Congressional District.

Weston, Fla., Aug. 8, 2026 /PRNewswire/ — Carbonara for Congress today announced that Major Chris Foster (Ret.), a retired Marine veteran, has endorsed Michael Carbonara for Congress in Florida’s 22nd Congressional District.

Foster served in the Marine Corps for 20 years on active duty, including overseas deployments, and retired at the rank of Major. Foster currently leads Centroid, a service disabled veteran owned small business supporting the U.S. Intelligence Community. His endorsement deepens Carbonara’s support among the veterans and military families of the district, where he joins combat veteran MAJ Frank Miller Jr. (Ret.), Marine Corps veteran and Fort Lauderdale Commissioner John C. Herbst, Army combat veteran and Coconut Creek Vice Mayor John Brodie, and the national grassroots organization Veterans for America First in backing the campaign.

“In high tempo operations you learn fast who you can count on when everything is on the line, and Michael Carbonara is someone you can count on,” said Foster. “He listens to veterans, he understands where the government has fallen short on our care and our benefits, and he has the backbone to do something about it. Veterans do not need more speeches. We need a fighter who keeps his word, and that is Michael.”

“Major Foster has dedicated most of his life to this country, and men and women like him are the reason we live free,” said Carbonara. “I am honored to have his trust. The veterans of this district have earned more than gratitude. They have earned a government that keeps its promises on health care, on benefits, and on respect, and I will fight for that every single day in Congress.”

Foster joins a growing coalition of support for Carbonara that includes LaBelle City Commissioner Hugo Vargas, HUCKPAC for America, Veterans for America First, the Fort Lauderdale Young Republicans, MAJ. Frank Miller Jr. (Ret), Broward County School Board Member Adam Cervera, Broward Jewish Republican Club President Dan Seidel, Weston City Commissioner Fabio A. Andrade, Weston Mayor Peggy Brown, Fort Lauderdale Commissioner John Herbst, Coconut Creek Vice Mayor John Brodie, Pompano Beach Commissioner Audrey Fesik, Catalina Stubbe of Moms for Liberty, and Collier County businessman Alfie Oakes.

About Michael Carbonara

Michael Carbonara is a South Florida entrepreneur, husband, and father running for Congress in South Florida. After building companies across payments, technology, genetics, and fertility care, he is focused on restoring affordability, defending constitutional freedoms, and making communities safer. A lifelong conservative and groundbreaking entrepreneur, Carbonara has built successful businesses in banking, cryptocurrency, and fertility care. He resides in South Florida with his wife, who escaped communist Cuba for freedom in America, and their children.

MichaelCarbonara.com

Paid for by Carbonara for Congress.

Media Contact: yousef.alami@carbonara.net

View original content:https://www.prnewswire.com/news-releases/retired-marine-corps-major-chris-foster-endorses-michael-carbonara-for-congress-302846561.html

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2027 Rates Have Landed: DRGCalculator.com and DRGPricer.com Announce Full Readiness for FY2027 DRG Grouping and Claim Pricing

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With the federal fiscal year 2027 inpatient payment update finalized, DRGCalculator.com and DRGPricer.com are live with the new rates today — giving providers, payers, and analysts a two-month head start to model reimbursement impact before the October 1 effective date.

FORT WORTH, Texas, Aug. 8, 2026 /PRNewswire-PRWeb/ — DRGCalculator.com and DRGPricer.com today announced full integration of the finalized CMS Fiscal Year (FY) 2027 Inpatient Prospective Payment System (IPPS) payment rates. Both platforms are now live, fully calibrated, and production-ready for FY2027 MS-DRG grouping and inpatient claim pricing—giving healthcare providers, payers, consultants, and financial analysts nearly two months to model reimbursement changes before the October 1, 2026 effective date.

The window between the final rates landing and October 1 is when revenue-cycle teams can actually do something about the change. Our users aren’t reading summaries of the update — they’re pricing their own claims against it, today.

Each October 1, updated MS-DRG relative weights, wage indexes, and payment factors reshape the economics of inpatient reimbursement. Organizations that wait until the new fiscal year begins to evaluate the changes often discover their financial exposure only after claims begin processing. DRGCalculator.com and DRGPricer.com eliminate that uncertainty by allowing users to group and price claims under the finalized FY2027 methodology today, compare results side-by-side with FY2026, and immediately identify where reimbursement will increase or decrease.

“The period between CMS publishing the final rule and October 1 is one of the most valuable planning windows for revenue-cycle teams,” said a Payerparity spokesperson. “Our users aren’t reading summaries of the update—they’re running their own claims through the finalized FY2027 methodology, quantifying reimbursement changes, and making informed operational decisions before the new rates take effect.”

Quantify Your FY2027 Financial Impact

Whether you’re modeling payer contracts, validating reimbursement, supporting Clinical Documentation Integrity (CDI) initiatives, or processing large claim volumes, the FY2027 transition has measurable financial implications. DRGCalculator.com and DRGPricer.com enable organizations to model reimbursement using their own facility-specific payment factors and contracts—without lengthy implementation projects or onboarding cycles.

FY2027 Platform Capabilities

Live FY2027 DRG Grouping and Pricing — Group inpatient claims and generate detailed pricing worksheets using the finalized FY2027 CMS methodology, with FY2026 available for side-by-side comparison.Facility-Specific Payment Modeling — Calculate reimbursement using your organization’s own wage indexes, payment factors, and reimbursement methodologies rather than relying on national averages.Enterprise Batch Adjudication — Process high claim volumes with enterprise-scale performance and audit-ready transparency.Optional AI-Assisted CDI Review — AI-powered documentation review helps identify potential documentation opportunities while deterministic, rules-based DRG grouping and pricing remain the authoritative reimbursement engine.API and Core-System Integration — Integrate FY2027 DRG grouping and claim pricing directly into payer adjudication platforms, contract modeling systems, revenue-cycle applications, and custom workflows through robust APIs.

Organizations can begin evaluating FY2027 reimbursement immediately by generating pricing worksheets, testing the FY2027 grouper, or integrating the platform into existing workflows at https://drgcalculator.com and https://drgpricer.com.

About DRGCalculator.com and DRGPricer.com

DRGCalculator.com and DRGPricer.com provide enterprise-grade MS-DRG grouping, inpatient reimbursement pricing, and reimbursement-impact modeling for healthcare providers, health plans, consultants, and revenue-cycle professionals. Built for transparency, accuracy, and scale, the platforms deliver worksheet-level pricing from individual claim analysis through enterprise batch adjudication and API integration, helping organizations understand and optimize inpatient reimbursement under current CMS payment methodologies.

Media Contact
Media, Payerparity, 1 (332) 203-6291, info@payerparity.com, https://drgpricer.com/

View original content:https://www.prweb.com/releases/2027-rates-have-landed-drgcalculatorcom-and-drgpricercom-announce-full-readiness-for-fy2027-drg-grouping-and-claim-pricing-302844889.html

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Chandigarh University Researchers Granted Patent for Attendance-Based Health Monitoring System to Monitor Three Vital Health Parameters

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Students and Employees to benefit with regular monitoring of mental & physical health

CHANDIGARH, India, Aug. 8, 2026 /PRNewswire/ — A team of researchers at Chandigarh University has developed an attendance-based health monitoring system which integrates biometric attendance authentication with real-time physiological health monitoring. The system simultaneously measures multiple vital health parameters including body temperature, heart rate and blood pressure on a single device during biometric attendance.

This innovative health monitoring system, developed by Chandigarh University Researchers, Dr Vikas Wasson, Professor CSE & Director (Engineering Foundations), Dr Sachin Kalsi, Associate Professor (Mechanical Engineering) and Head-Academic Operations (E-Governance) along with three CU students Rishabh Raj, Paras Gupta, Vikas Sharma has been granted a patent by the Indian Patent Office in 2026.

Prof Wasson said the invention addresses a growing societal concern where students and employees often work or study for long hours under intense academic and professional pressure, while neglecting their physical well-being. “In today’s highly competitive world, students and working professionals pursue their academic, career and organisational goals, many times at the cost of their health. But long working hours, stress, irregular routines and inadequate attention to well-being gradually affects an individual’s physical and emotional health. We live in an age surrounded by intelligent technology, yet most attendance systems do not pay attention to the well-being of the person. This invention is an attempt to bridge that gap by integrating health monitoring into an activity that people already perform every day. By monitoring vital health parameters, the system can support the early identification of unusual health trends, thereby contributing to healthier workplaces and educational institutions,” he said.

Prof Kalsi said the invention provides a practical solution for integrating daily attendance management with preventive healthcare monitoring. “Since attendance recording is a mandatory activity in most organizations and educational institutions, the system enables routine health assessment without requiring additional effort from users. It also supports digital health record management by maintaining authenticated historical health data, which can be useful for health trend analysis, occupational safety, and institutional health management,” he said.

“In addition, the system reduces the dependence on wearable monitoring devices by embedding health monitoring directly into the attendance process, making it cost-effective and scalable for large organizations. Overall, the invention contributes to the advancement of smart healthcare infrastructure by combining biometric authentication, real-time physiological monitoring, automated health assessment, and institutional alert mechanisms into a single integrated platform, thereby promoting proactive healthcare, improving safety, and supporting the development of intelligent workplaces and smart educational campuses,” he added.

Prof Wasson said, “Almost every day, millions of us walk up to a biometric machine — in schools, colleges, coaching centres, and offices. Rather than only recording who showed up, the enhanced biometric sensor also reads three vital signs — blood pressure, body temperature, and heart rate. In one effortless gesture that people already perform every single day, the machine begins to understand not just whether a person is present, but how they truly are on the inside,”.

Prof Kalsi said, “A single stressful morning — a frantic rush to reach office on time — can spike anyone’s heart rate and blood pressure. So the system never judges a person on one reading. Instead, it monitors each individual over a seven-day period to learn their personal, normal baseline. Only a genuine, sustained deviation from that baseline is treated as meaningful. Crucially, the readings are never displayed on the screen, because a person confronted with alarming numbers may panic and worsen their own condition. Instead, the weekly data will flow confidentially to the Human Resource team. If someone’s pattern shifts in a concerning way, the HR department can take timely action to provide required medical help,” he added.

Prof Wasson said sensors for blood pressure, temperature, and heart rate all exist today but as separate instruments and have not traditionally been integrated into a single attendance device that millions use at their workplace daily. “The true novelty here is integration: fusing quiet health monitoring into routine biometric attendance, so that emotional and physical distress can be detected early, within the natural rhythm of everyday life, without asking anyone to do a single extra thing. The mission is stated plainly, and it is deeply human: to save lives. By transforming a mundane daily habit into a compassionate early-warning system, this invention aims to build calmer classrooms, healthier workplaces, and — above all — a world where far fewer families are left to grieve the people they love most,” he added.

Congratulating Chandigarh University researchers for getting the patent for attendance based health monitoring system, Deepinder Singh Sandhu, Senior Managing Director, Chandigarh University said, “This achievement reflects the strong research and innovation eco-system at Chandigarh University to support research excellence and intellectual property generation for advancement of technology. Chandigarh University’s students and faculty members have filed more than 6,100 patents out of which 5800 patents have been published and 260 patents have been granted. Chandigarh University is ranked number one as a single institution in India for filing highest number of patents. CU’s 44 faculty members featured in Stanford University–Elsevier list of the world’s top 2% scientists. The range of research activities at Chandigarh University is wide-ranging and profound. University scholars conduct research in practically every domain, and pursue to develop human knowledge through investigation, invention, and understanding. Chandigarh University is recognized as Scientific and Industrial Research Organization (SIRO) by the Union Ministry of Science and Technology’s Department of Scientific and Industrial Research (DSIR) for promoting and advancing the research. To amplify research, Chandigarh University has dedicated an annual budget of Rs 15 Crore for research and has also 60 Research Centres and 15 Centres of Excellence. CU’s research initiatives are further strengthened by 67 projects funded by the corporate sector and government bodies with Rs 90 Crore,”.

About Chandigarh University

Chandigarh University is a NAAC A+ Grade University and QS World Ranked University. This autonomous educational institution is approved by UGC and is located near Chandigarh in the state of Punjab. It is the youngest university in India and the only private university in Punjab to be honoured with A+ Grade by NAAC (National Assessment and Accreditation Council). CU offers more than 109 UG and PG programs in the field of engineering, management, pharmacy, law, architecture, journalism, animation, hotel management, commerce, and others. It has been awarded as The University with Best Placements by WCRC.

Website: https://www.cuchd.in/

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